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The 2006 World Congress in Computer Science
Computer Engineering, and Applied Computing
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IPCV'06: The 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition

Last modified 2006-01-31 21:38

Monte Carlo Resort, Las Vegas, Nevada, USA (June 26-29, 2006)

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'06

    IPCV'06 is an international conference held simultaneously (ie, same location and dates) with a number of other joint conferences as part of WORLDCOMP'06 (The 2006 World Congress in Computer Science, Computer Engineering, and Applied Computing). WORLDCOMP'06 is the largest annual gathering of researchers in computer science, computer engineering and applied computing. Many of the joint conferences in WORLDCOMP are the premier conferences for presentation of advances in their respective fields (for the complete list of joint conferences Click Here).

    The motivation is to assemble a spectrum of affiliated research conferences into a coordinated research meeting held in a common place at a common time. The main goal is to provide a forum for exchange of ideas in a number of research areas that interact. The model used to form these annual conferences facilitates communication among researchers in different fields of computer science, computer engineering and applied computing. Both inward research (core areas of computer science and engineering) and outward research (multi-disciplinary, Inter-disciplinary, and applications) will be covered during the conferences.

    The last set of conferences (research tracks in image processing, computer vision and pattern recognition and affiliated events) had research contributions from 76 countries and had attracted over 1,500 participants. It is anticipated to have over 2,000 participants for the 2006 event.

    You are invited to submit a draft paper of about 5-8 pages and/or a proposal to organize a Technical Session/workshop (see the Submission information). All accepted papers will be published in the respective conference proceedings. The names of technical session/workshop organizers/chairs will appear on the cover of the proceedings/books as Associate Editors.

    Topics of interest include, but are not limited to, the following:

      • Motion and tracking algorithms and applications
      • Image-based modeling and algorithms
      • Illumination and reflectance modeling
      • Shape representation
      • Video analysis
      • Event recognition techniques in image sequences
      • Medical image processing and analysis
      • Segmentation techniques
      • Geometric modeling and fractals
      • Visualization
      • Convergence of imaging media (video and computer)
      • Biometric authentication
      • Scene and object modeling
      • Image data structures and databases
      • Image compression, coding, and encryption
      • Image display techniques
      • Image geometry
      • Digital imaging for film and television
      • Image formation techniques
      • Image generation, acquisition, and processing
      • Image feature extraction
      • Multi-view geometry
      • Document image understanding + OCR
      • Image algebra
      • Enhancement techniques
      • Novel noise reduction algorithms
      • Mathematical morphology
      • 3D imaging
      • Watermarking methods and protection
      • Wavelet methods
      • Mosaic, image registration and fusion methods
      • Fingerprint analysis
      • Color and texture
      • Image restoration
      • Printing technologies
      • Interpolation techniques
      • Software tools and environments for imaging
      • Indexing and retrieval of images (image databases)
      • Signal and speech processing
      • Object recognition
      • Face and gesture
      • Machine learning technologies for vision
      • Performance analysis and evaluation (real-time vision)
      • Camera networks and vision
      • Sensors and early vision
      • Stereo vision
      • Active and robot vision
      • Cognitive and biologically inspired vision
      • Soft computing methods in image processing and vision
      • Multi-resolution vision techniques
      • Fuzzy and neural techniques in vision
      • Graph theory in image processing and vision
      • Special-purpose machine architectures for vision
      • Classification and clustering techniques
      • Symbolic learning
      • Statistical pattern recognition
      • Invariance in pattern recognition
      • Knowledge-based recognition
      • Structural and syntactic pattern recognition
      • Dimensionality reduction methods in pattern recognition
      • Applications including: security, medicine, robotic, GIS, remote sensing, industrial inspection, nondestructive evaluation (or NDE), ...
      • Case studies
Academic Co-Sponsors

MIT Media Laboratory

Texas Advanced Computing Center
The University of Texas at Austin
Other Co-Sponsors

One Laptop Per Child (OLPC)
Media Co-Sponsors


Hodges' Health

Charter Cable Internet Access

 

Administered by
Universal Conference Management Systems & Support (UCMSS)
San Diego, California, USA

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